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Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln January 2021
Cloud Computing Technology: A Scientometric Assessment of
Cloud Computing Technology: A Scientometric Assessment of
Global Level Research Output based on the Scopus database
Global Level Research Output based on the Scopus database
Gavisiddappa Bhalappa Anandhalli Dr
Akkamahadevi Women's University, Vijayapura (Formerly Karnataka State Women's University), [email protected]
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Anandhalli, Gavisiddappa Bhalappa Dr, "Cloud Computing Technology: A Scientometric Assessment of Global Level Research Output based on the Scopus database" (2021). Library Philosophy and Practice (e-journal). 4737.
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Cloud Computing Technology: A Scientometric Assessment of Global Level
Research Output based on the Scopus database.
Dr. GavisidddappaAnandhalli1 Dr.Gururaj S Hadagali2, Iranna shettar3 Kiran Suhas N4
1. Associate Professor. Department of Library and Information Science, KSAWU, Vijayapura, Karnataka, India -586107. [email protected]
2. Assistant Professor. Department of Library and Information Science, Karnatak University, Dharwad- Karnataka, India 580003.
3. Assistnt Librarian, Periodical section, NIT, Surthkal, Mangalore.
4. KiranSuhas N, Faculty, Department of Library and Information Science, Vijayanagara Sri Krishna Devaraya University, Ballari. Karnataka, [email protected]
Abstract
Cloud computing technology is one of the most emerging technologies in the field of Computer Science.The present study aims at analyzing the research output performance of Cloud Computing Technology published in the Scopus database from 2007 to 2019. The various bibliometric components of the 73174 research records are published in the study period. The study shows the various indicators of cloud computing technology literature, such as Year wise growth rate, Relative Growth Rate (RGR), Doubling Time (Dt), country wise, Research Institute wise, Most prolific authors and form-wise, etc. The maximum number of publications were recorded in the year 2018 and further, it is found that RGR is gradually increasing and at the same time doubling time of the literature is gradual decreases over the study period. On an average 5678 articles and 51954 citations are being published and received every year during the study period, the majority of the publications have three and two authored papers and received nine citations per publication during the study period. The highest number of publications were published by Buyya, R .i.e285 articles (H index-72). China (19123-26.13%) has published the highest number of articles in the field of cloud computing technology and most publications are published in the form of conference papers and research articles. Further, the highest degree of collaboration (r=.9)is observed in the field of cloud computing technology and Beijing University of Posts and Telecommunications (1143) has emerged as one of the top research institutes, and Communications in Computer and Information Science journal is the most productive journal in the field of cloud computing technology. Finally, it can be revealed that a lot of research activity is being taking place and promotion of collaborative research culture is also observed in cloud computing technology.
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Keywords: Scientometric Analysis, Bibliometric, Authorship Pattern, Collaborative Research, Cloud Computing Technology.
Introduction:
Scontometric is the quantitive study of the disciplines of science-based on published literature and communication. “It identifying an emerging area of scientific research, examining the research over time. or geographical and organizational distributions of research publications” (Glossary of Thompson, 2008). It is one of the most important measures for the assessment of scientific productions. “It involves quantitative studies of scientific activities including among other publications, so overlaps bibliometrics to some extent” (Tague-sutclififfe, 1992, Mogali et al 2011). “Scientific Literature is a reflection of scientific activity and productivity” (Gharfield, 1979). It deals with the quantification of written communication, which helps in the measurement of the published knowledge. It throws light on the pattern of growth literature. Interrelationship among different branches of knowledge productivity, authorship pattern and degree of collaboration, the pattern of collection building, and their use. It helps in formulating need-based collection, building policy, and provides authentic data to inform managers and library professionals to take judicious decisions in the process of document selection. It offers a set of measures for studying the structure and process of scholarly communication (Subramanian 1983). “It is defined as the study and measurement of publication pattern of all forms of written communication and their authorship in a given area of research” (Sengupta-1985). The present study aims to analyze the trend and characteristics of various bibliometric aspects of cloud computing technology research publications.
1. About Cloud Computing Technology:
It is a new branch of computer science, “a network of remote servers hosted on the internet to store, manage, and process data than a local server or a personal computer, it is a general term used to store anything that involves delivering hosted service over the internet”(Vahid Delavari-2019). The cloud symbol is used to represent on the internet since 1994. It is a group of networked elements providing computer system resources especially data storage and computing power facility, it is also called a data center
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available over the internet. Presently, it is one of the emerging areas in the field of computer science and it is greatly used in corporate and software industries for managing , maintaining and processing their data resources in the cloud environment.
3.Review of Literature
Several studies have been reported on the scientometric subject for the last four decades to evaluate the research output published across the world. Some of the important studies have been reviewed and scaned to make the study more tangible and visiable. The some of the premier works like Subramanian (1983) Kumar Sneha Gupta (1990) &Garrison (1992) have made to assess the contribution of scientific research output through bibliometric techniques. Arunachalam S(2001). Bhattacharya etal (1997) analyzed productivity, literature growth, and subject distributions and their citations. In 1994 Sudhier has conducted study on the contribution of scientific research in Kerala during the study period of 1994-1997 and noticed that the growth rate of scientific research output of Kerala has shoots to 201.67% and corresponding increases of national output.Nagapual (1995) reveals the research productivity of chemistry literature with a sample of 53977 publications from 2000 to 2009. Mahapatra and Padmanav (2006) have envised the growth of scientific research literature on Orissa published during 1985-2004. In the study, the authorship pattern, year wise growth, the subject wise breakup of papers, category of journals, place of origin, length of papers, and productivity of journals were studied. GavisiddappaAnandhalli and DanappaPatar (2015) investigated the research productivity of the Vikalpa journal and studied the various bibliometric components of 437 articles such as year wise growth, Authorship Pattern, Degree of Collaboration, and country-wise and document type. The study reveals that single authors' pattern is most dominant than multiple authorship and India is a major contributor to the Vikalpa journal. Hadagali, Gururaj, and Gavisiddappa Anandhalli(2015) have studied the growth of literature in the field of neurology does not follow the Linear or Logistic model, however, it follows closely the Exponential Growth Model. Finally, the study can be concluded that there has been a consistent trend towards increased growth of literature in the field of neurology literature.
4 5. Need for the study
An attempt has been made to analyze the research trend and their characteristics in the field of cloud computing technology literature published in the Scopus online database version from 2007 to 2019 by using bibliometric techniques.
6. Objectives of the study
The main objective of the study is to analyze the growth pattern of cloud computing technology literature over the study period, the specific objectives of the study are as follows.
1. To examine the quantification of publication and growth rate of literature over the study period in the field of cloud computing technology.
2. To examine the relative growth rate and doubling time of the publications over the study period.
3. To study the authorship pattern and degree of collaboration of publications. 4. To find out the most prolific authors and most prolific institutions in the field of
cloud computing technology.
5. To study the distribution of publications by country wise and institution wise.
6. To identify the form-wise distribution of articles in the field of cloud computing technology.
7. Methodology
The researcher has collected the required research data from the online version of the Scopus database on cloud computing technology from 2007 to 2019 and it is used as the main source of data for the present study. The researcher has used cloud computing technology for searching the recoreds on given field, an overall 73174 records were retrived as a result of search made in the database. The searchers were further limited to document type such as articles from books, journal articles, conference volumes, reviews, case studies. To test the objectives of the study the necessary data has been collected such as year wise, country wise, research institute wise, most prolific authors, form-wise and subject wise, etc. Finally, the given dataset was organized, analyzed, and presented in the form of tables and graphs for interpretation and discussion to draw the meaningfull conclusions.
5 8. Analysis and Interpretation
The bibliographical data so collected from the online version of the Scopus database on cloud computing technology from 2007 to 2019. As many as more than 73174 publications are considered as the main source of data for the present study. The collected data was entered in an excel sheet and analyzed and tabulated with the help of frequency, percentage, and drawn the meaningful conclusions.
Table-1 Contribution of Research Publication by Year wise Year No of records % of records No of Citations %of citations Cum N Cum % Before 2008 20 0.03 244 0.04 244 0.03 2008 97 0.13 7810 1.16 8054 0.16 2009 709 0.97 36873 5.46 44927 1.13 2010 2114 2.89 69581 10.30 114508 4.02 2011 4505 6.16 80058 11.85 194566 10.18 2012 5440 7.43 79757 11.81 274323 17.61 2013 6834 9.34 88125 13.05 362448 26.95 2014 7184 9.82 72119 10.68 434567 36.77 2015 7881 10.77 71398 10.57 505965 47.54 2016 8864 12.11 67138 9.94 573103 59.65 2017 9252 12.64 53529 7.93 626632 72.29 2018 10175 13.91 37112 5.49 663744 86.2 2019 10099 13.80 11668 1.73 675412 100
6 Total 73174 100.00 675412 100.00 Descriptive statistics Average No of article SD r p n No of publications 5628.7692 3798.07572 .317 .291 13 No of citations 51954.7692 30128.78605
No of citations received per publications=𝑁𝑜 𝑜𝑓 𝑐𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 𝑟𝑒𝑐𝑖𝑣𝑒𝑑
𝑁𝑜 𝑜𝑓 𝑝𝑢𝑏𝑙𝑖𝑐𝑎𝑡𝑖𝑜𝑛𝑠 =
675412 73174
= 9.2302
Table-1 reveals the growth of research publications published during the study period from 2007 to 2019 with a sample of 73174 articles published in the field of cloud computing technology. The highest number of articles i.e 10175 was published in the year 2018 which amounts to 13.92% of the total publications and then followed by the second-highest number of articles (10092-13.80%) were contributed in the year 2019. These two year are considered as most productive years. The productivity of the publications in these two years increased to 27.71%. However, the minimum number of articles (20-.003%) were published in the year 2007. Further,
0 10000 20000 30000 40000 50000 60000 70000 80000 90000 100000 0 2000 4000 6000 8000 10000 12000 Before 2008 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 N o o f c itat o n s N o o f Pu b lic ation s
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it is observed that On average 5678 articles were published per year during the study period and of 51954 citations were cited during the study period. Furthermore, nine citations per publications were found, and a moderate degree of correlation (r=.37) was observed between the number of articles and the number of citations (r=.37) at 5% of the level of significance. It can be concluded that research activity is gradually increasing over time and there is positive growth of trend in the field of cloud computing technology.
Table-2 Relative growth rate (RGR) and doubling time (Dt) in the field of cloud computing technology Year No of records % Cum of Records Log (int)
Log(fin) RGR Mean Dt Mean
Before 2008 20 0.03 20 2.996 0.000 1. 75 0 0.422 2008 97 0.13 117 2.996 4.762 1.766 0.392314 2009 709 0.97 826 4.575 6.717 2.142 0.323547 2010 2114 2.89 2940 6.564 7.986 1.422 0.487236 2011 4505 6.16 7445 7.656 8.915 1.259 0.550454 2012 5440 7.43 12885 8.413 9.464 1.051 0.65945 2013 6834 9.34 19719 8.602 9.889 1.288 0.538126 2014 7184 9.82 26903 8.830 10.200 1.370 1.7223 0.505718 0.408 2015 7881 10.77 34784 8.880 10.457 1.577 0.439358 2016 8864 12.11 43648 8.972 10.684 1.712 0.40486 2017 9252 12.64 52900 9.090 10.876 1.786 0.38793 2018 10175 13.91 63075 9.133 11.052 1.919 0.361034 2019 10099 13.80 73174 9.228 11.201 1.973 0.351258
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Table-2 clearly shows the mean relative growth rate (RGR) and doubling time (Dt) of the publications in the area of cloud computing technology for the study period. It is noticed that the relative growth rate (RGR) of an article has gradually increased from 1.76 in the year 2008 to 1.973 in the year 2019 for the given study period and the mean relative growth rate was found to be 1.75. at the same time, the doubling time of the publication of articles gradually decreases from 0.392314 in the year 2008 to 0.351258 in the year 2019 and the mean doubling time of the articles was found to be .408 for the given study period. It can be summarized from the above discussion that the relative growth rate of the article is gradually increased and on the other hand doubling time of the articles is gradual decreases.
Table-3 Most Prolific Authors in the Field of Cloud Computing Technology
AUTHOR NAME No of Publication No of Citations h-Index Rank Buyya, R. 285 31767 72 1 Jin, H. 143 2301 22 2 Villari, M. 137 1923 23 3 Huh, E.N. 127 1633 19 4 Zomaya, A.Y. 121 3131 30 5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.000 0.500 1.000 1.500 2.000 2.500 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Dt R GR
9 Puliafito, A. 118 1768 21 6 Dustdar, S. 114 2592 29 7 Leymann, F. 110 1353 21 8 Celesti, A. 107 1358 19 9 Ranjan, R. 103 6369 29 10 Total 1365 54195
Table -3 shows the contribution of the most prolific authors in the field of cloud computing technology, it is observed that Buyya, R has contributed the highest number of articles i.e 285 articles having an-index of 72 and she has also received 31767 citations for her research work and then followed by the second-highest number of articles i.e 143 are contrived by Jin H. The remaining researchers are also significantly contributed towards the field as shown in the above table-3. It can be concluded that Buyya R and Jin H have emerged as the most prolific researcher in the field of cloud computing technology at the global level.
Table-4 Country-wise Distribution of cloud Computing Technology Publications
Country No of Publications % Cum % China 19123 26.13 26.13 United States 11919 16.29 42.42 India 10420 14.24 56.66 United Kingdom 3640 4.97 61.63 Germany 3067 4.19 65.82 Australia 2451 3.35 69.17 Italy 2408 3.29 72.46 Canada 2328 3.18 75.65
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South Korea 2278 3.11 78.76
Taiwan 2087 2.85 81.61
Others 13453 18.38 100.00
Total 73174 100.00
Table-4Depicts the geographical wise distribution of publications, out of 73174 articles, China has contributed the highest number of articles which amounts to more than 26% of the total publication then followed by theUnited States of America (16.29%) and India (14.24%), these three countries together contributed more than 56% of the world publications in the field of cloud computing technology. Further, it is observed that United Kingdom (3640), Australia (2451), Italy (2408), Canada (2328), and SouthKorea (2278)are also significantly contributed towards cloud computing technology. However, Taiwan and other countries have made less contribution to the field. So it can be concluded that China, the USA, and India are more emerged countries in the field of cloud computing technology at the global level.
Table-5 Authorship pattern in Cloud Computing Technology Authorship Pattern No of Publications % No of Authors No of Citations No Author 1817 2.483122 0 42 Single Author 5819 7.952278 5819 37719 Two Authors 17703 24.19302 35406 120658 Three Authors 18532 25.32594 55596 164311 Four Authors 13934 19.04228 55736 150960 Five Authors 8051 11.00254 40255 98539 Six Authors 4025 5.500588 24150 50122
11 Seven Authors 1566 2.140104 10962 21525 Eight Authors 718 0.981223 5744 10377 Nine Authors 318 0.434581 2862 3682 Ten Authors 204 0.278788 2040 3852 Ten+ Authors 487 0.665537 7564 13625 Total 73174 100 246134 675412 Ns 5819 No of Authors 246134 Nm 65538 No of Papers 73174
Ns= Number of a single author, Nm=Number of multiple authors
Degree of collaboration (DC) = Nm
Ns+Nm=
65338
5819+65338 =.9184
The average number of Author per paper=246134
73174= 3.36
Above table-5 shows, the authorship pattern and degree of collaboration in the area of cloud computing technology, the maximum number of papers are written by three authors (N=18532-25.32594%). The second-highest number of articles are published by two authors (N=17703-24.19302%) and then followed by four authors (N=13934-19.04228%). Five authors respectively. Further, it is observed that single-author paper constitutes more than 7% to the total publications; however, a very negligible contribution is made by six authors or more than six authors. Further, it is observed that there is a high degree of collaboration (r=.9184)is observed. It shows that a lot of collaborative research work is taking place in this area. It is good practice for researchers to share and extended their knowledge inside or outside the organization for the better promotion of collaborative research culture in scientific production.
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Table-6 Top ten Research Institutions in the field of Cloud Computing Technology at the global level
Name of the Institute No of Publications
No of
Citations h-index
Rank
Beijing University of Posts and
Telecommunications 1143 8786 43
1
Chinese Academy of Sciences 1079 12360 51 2 Tsinghua University 690 12127 48 3 Ministry of Education in China 658 7316 42 4 Huazhong University of Science and
Technology 530 8593 44
5
Xidian University 513 8029 44 6
Vellore Institute of Technology, Vellore 491 2489 23 7 National University of Defense Technology 490 3574 27 8
Beihang University 459 7391 40 9
Shanghai Jiao Tong University 448 6066 38 10
Total 6501 76731
Total 13002
(17..76%)
Table -6 gives the account of research publications by the top 10 research institutions at the global level in the area of cloud computing technology all together they published 13002 publications sharing nearly more than 17% of the world publications during the study period. In which, Beijing University of Posts and Telecommunications research institute alone published 1143 articles and then followed by the Chinese Academy of Sciences contributed nearly 1079 articles, Tsinghua University (690), Ministry of Education China (658), Huazhong University of Science and Technology (530) respectively. Indian premier institute Vellore Institute of Technology, Vellore is also published a significant number of (491) articles. It can be concluded that the Beijing University of Posts and Telecommunications emerged as the topmost research institutes in the field of cloud computing technology at the global level
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China is the most productivity country in the publication of cloud computing technology, china play very significant role in the field of cloud computing technology research, because it is not only a most productivity country but also top five research institutions/ universities are from China. Hence China is one of the emerging country in the world in the field of cloud computing technology
Top -7 Most Productive Journals in the field of Cloud Computing technology
Journal Title No of Publications No of Citations h-index Rank
Communications in Computer and Information
Science 1148 2794 19
1
Advances in Intelligent Systems and Computing 1019 1968 16 2 Future Generation Computer Systems 702 31792 68 3
IEEE Access 674 8675 42 4
Applied Mechanics and Materials 586 465 7 5 Procedia Computer Science 482 4421 31 6 International Journal Of Applied Engineering
Research 408 319 8
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Cluster Computing 359 2911 27 8
IEEE Transactions on Cloud Computing 353 5411 40 9 Journal of Supercomputing 350 5470 36 10
Total 6081 64226
Table -7 shows the top ten most productivity journals in the area of cloud computing technology. It found that Communications in Computer and Information Science is on the top of lsit with publication of 1148 publications secured first rank. Accordingly, Advances in Intelligent Systems and Computing occupied second rank with publication of 1019. and Advances in Intelligent Systems and Computing secured third rank. These three journals appears
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to be the most productive journals in the field of cloud computing technology. The remaining most productivity journals are also listed in the above table. All the 10 journals are contributed more than 8% to the total world publications during the study period.
Table-8 Type of Document wise distribution
Document Type No of Publications % No of Citations % Conference Paper 44692 61.08 63649 30.97 Research Articles 22869 31.25 125607 61.11 Book Chapter 2055 2.81 1701 0.83 Conference Review 1711 2.34 1 0.00 Review 966 1.32 12788 6.22 Editorial 357 0.49 554 0.27 Book 285 0.39 772 0.38 Note 89 0.12 181 0.09 Short Survey 86 0.12 145 0.07 Letter 40 0.05 121 0.06 Erratum 18 0.02 7 0.00
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Retracted 5 0.01 10 0.00
Data Paper 1 0.00 0 0.00
Total 73174 100 205536 100.00
It is evident from the table-8 shows the bibliographical form-wise distribution of documents, the large majority of the research output being available in the form of Conference Papers (N=61.08%) and a considerable amount of publications is also published in the form of research articles. A Significant amount of publications were brought in the form of Book Chapter and Conference Review respectively. However, a very few publications is also published in the form of Editorial, Book Note, and Short Survey. It can be concluded from the above discussion that the majority of the publications are published in the form of Conference papers and Research Articles.
9. Major Findings of the Study.
The analysis of the discussion elaborates on the following findings of the study.
1. The present stud has analyzed nearly 73174 publications in the field of cloud computing technology during the study period of 2007 to 2019.
2. The highest number of research publications (N=10175-13.91%) were published in the year 2018 and followed by (N=10099-13.80%) in the year 2019.
3. It is observed that on an average of 5628 articles were published per year during the study period, at the same time3.6 authors per paper were observed and further 9 citations per paper were also received during the study period.
4. The majority of the articles are written by three authors (18352) and two authors (17703) in the field of cloud computing technology.
5. The highest degree of collaboration (r=.918) is observed in the field of cloud computing technology.
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6. The relative growth rate has been increased from 1.766 in the year 2008 to 1.973 in the year 2019 and at the same time doubling time of an article has been decreases over some time.
7. The highest number of articles (N= 19123)was contributed by China.
8. Bivvy has made the highest contribution to bypublishing285 research articles.
9. The Majority of the research output is being published in the form of conference papers (44692-61.08%) and research articles (22869-31.35%).
10.Communications in Computer and Information Science and Advances in Intelligent Systems and Computing are the most productivity journals in the field of cloud computing technology.
11.Beijing University of Posts and Telecommunications and the Chinese Academy of Sciences is the most reputed and most productivity research institutions in the field of cloud computing technology at the world level.
10. Conclusion:
This research study was carried out from quantitative prospective to understand pattern of research trend and development in the field of cloud computing technology indexed in the Scopus database from 2007 to 2019 world wide. Biblimetric indicators are used to evaluate the scientific productivity and quantification. As we know that cloud computing technology is one of the emerging and promising areas in the field of computer science. The bibliometric analysis of the publications in the field of cloud computing technology reveals the some of the significant results and trend in the cloud computing technology research. A total of 73187 articles were published in cloud computing technology from 2007 to 2019 at the global level. There is a positive growth trend is observed during the study period. Las two years shows the spectacular grwoht in the publications. It can be analysed from the study that significant research activity is being taking place in the field of cloud computing technology. The study shows a remarkable difference between the number of single authors and multiple authors. The study concludes that multiple authorship research is predominant as compared to single author contributions. China, USA and India are the most productivity country in the worldin the field of cloud computing technology. Beijing University of Posts and Telecommunications (1143) has emerged as one of the top research institutes, and Communications in Computer and Information
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Science journal is the most productive journal in the field of cloud computing technology hence the high degree of Collaboration is observed in the field of cloud computing technology. It is good practice to share and extended their knowledge with like-minded people within their organization or outside the organization for the promotion of collaborative research culture.
11. References.
1. Arunachalam, S. (2001). Mathematical research in India today: What does the bibliometric analysis. Annals of Library and Information Studies, 53(1), 18-21.
2. Garrison, H H (1992). Measuring characteristics of scientific research: A comparison of bibliographic and survey data. Scientometrics, 24(2), 359-70.
3. GavisiddappaAnandhalli and DanappaPatar (2015). Scholarly Communication of the Vikalpa from 2003 to 2012: A ScientometricAnalysis.International Journal of
Information Science and Management. V13. No.2 July/ December, pp27-40. 4. Garfield (2018). Visualizing Gerfiled scientific performance, journal of scientific
research, vol,7 (3).
5. Gupta B M and Dhawan, S M (2009). Status of physics research in India: An analysis of A Research output during 1993-200. Scientometrics, 78(2), 295-316.
6. Hadagali, Gururaj, and GavisiddappaAnandhalli(2015). Modeling the growth of
neurology literature. Journal of Information Science, Theory and Practice, 3(3),2015,45-63.
7. Kumar, L &Sengupta, I. N. (1990).Bibliometric evaluation of Biochemical Research in India.Indian Journal of Information, Library, and society, 3 (2) 16-28.
8. Mahapatra, R K &Padmanav, J.(2006). Scientific research productivity on Orissa: A bibliometric analysis. Annals of Library and Information Science, (53)1,18-21. 9. Nagpal, P. S.(1995). Contribution of Indian Universities to the mainstream Scientific
Literature: Bibliometricassessment. Scientometrics, 32(1) 11-36.
10.Sangam, S L and Mogali S S (2012). Mapping of social science literature: A system approach. Scientometrics processings (December)
11.Sengupta, I.N. (1985). Bibliometrics: a bird’s eye view. IASLIC Bulletin, 30 (4), 167-174.
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14.Subramanian, K (1983). Bibliometric studies of research collaboration: A review. Journal of information science (6)38.
15.Sudhier, K. G (1994). The output of scientific research in Kerala: A bibliometric study. Annals of Library information and documentation, 44(4),113-125.
16.Tague-sutclififfe, J (1992). An introduction to information. Information processing and management 28 (1), 1(3).
17.Vahid Delavari, Elahi Shaban, Marijn Janssen, Alireza Hassanzadeh (2019). "Thematic mapping of cloud computing based on a systematic review: a tertiary study" , Journal of Enterprise Information Management.